Data Science Training

Complete Data Science Training Course: Python, Generative AI, Agentic AI, Advanced Statistics, Machine Learning, NLP and Deep Learning.

What you'll learn

Learn Python for data analysis, automation, and AI development
Learn to use libraries like NumPy, Pandas, Matplotlib, and more.
Work with GPT models like OpenAI GPT, Grok, and LLaMA to build intelligent AI-powered applications.
Create LLM-based applications using LangChain and LangGraph.
Design autonomous AI Agents capable of planning, decision-making, tool usage, and task execution.
Use Hugging Face transformers, datasets, and pre-trained models to accelerate AI and NLP development.
Work with real datasets to clean, analyze, and visualize data, extract insights, and prepare data for Machine Learning models.

Understand and implement Deep Learning concepts using neural networks, backpropagation, and advanced architectures.
Explore large datasets using data visualization tools like Matplotlib and Seaborn.
Learn text preprocessing, embeddings, sentiment analysis, transformers, and NLP pipelines for real-world applications.
Build image classification and computer vision models using Convolutional Neural Networks (CNN).
Build chatbots, AI assistants, document analysis systems, recommendation engines, and RAG-based applications.
Work on end-to-end Data Science, Machine Learning, and Generative AI projects to build a strong job-ready portfolio.

Our Training Process

Practical Session

Assignment

Projects

Be Job Ready

Interview Preparation

Resume Building

Key Highlights

100% Job Placement Guarantee
Personalised career coach
90% Practical Training
Official Certification
Live Capstone Projects
Study material
Instant doubt solving
Case studies and Projects

Data Science Training

Python

Introduction
String manipulation
Data structures
Control loops
Functions
Object oriented programming
Modules and packages
Graphical user interface (GUI)
Exception & file handling
Variables
Pep8
Advanced concepts
API & Project
Introduction to Data Science
Introduction to Machine Learning

R Programming

Fundamentals of R
Vectors
Matrices and arrays
Lists
Factors
Data frames
Programming structures
Working with strings
Plotting in base R
Apply family
Professional Projects

Machine Learning

Introduction to Machine Learning (ML)
Statistics for Data Science
Data Visualization
Exploratory Data Analysis
Data reprocessing
Linear regression
Logistic Regression
Decision trees & random forests
Model evaluation techniques
Dimensionality reduction using PCA
KNN (K–Nearest Neighbours)
Naive Bayes Classifier
K-means clustering technique
Support Vector Machines (svm)
Time series forecasting
Ensemble learning
Stacking
Optimization
Capstone Projects

Deep Learning

Machine Learning workflow.
Artificial Neural Networks.
The Activation Function.
Building an ANN.
Convolutional Neural Networks.
Pooling and Flattening.
Recurrent Neural Networks.
RNN Intuition.
The Vanishing Gradient Problem.
Inferential Statistics.
Data visualization with Matplotlib.
Encoding categorical variables.
Logistic Regression.
Building an AutoEncoder.
Data reprocessing.

Generative AI

Large Language Models (LLMs).
LLM’s Industry use cases.
Prompting Techniques.
- One Shot Prompting.
- FewS hot Prompting.
OpenAI – GPT 3.5 / GPT 4.
LangChain.
Hugging Face.
Google PaLM
Google Gemini / Gemini Pro / Gemini Pro Vision.

NLP

Introduction.
Language analysis.
Natural Language Understanding.
Tokenization & stemming.
POS and NER.
Scikit-Learn Primer.
Text Feature Extraction.
Text Classification.
Semantics and Sentiment Analysis.
Topic Modeling
Keras overview.
Dialogue Systems.
Speech Recognition and Text-to-Speech.
Create ChatBots.

AWS

Identity & Access Management (IAM)
Simple Storage Service (S3)
Networking
Elastic Compute Cloud (EC2) – I
Elastic Compute Cloud (EC2) – II
Database services
Individual services
Route53
Managed application services
Analytics applications
Capstone projects

MySQL

Introduction to MySQL
Inserting data
Crud commands
String functions
Basic database terminology
Mysql constraints
Aggregate functions
MySQL stored procedure – I
MySQL stored procedure – II

Tableau

Tableau basics
Maps, scatterplots & your first dashboard
Joining and blending data, plus: dual axis charts
Table calculations, advanced dashboards, storytelling
Advanced data preparation

Power BI

Introduction
Connecting & shaping data with Power BI desktop
Creating table relationships & data models in Power BI
Analyzing data with dax calculations in Power BI
Visualizing data with Power BI reports
Artificial Intelligence (AI) visuals

Professional Projects

Customer Segmentation
Recommender System
Build a Chatbot

Skills you will gain

Data Science Machine Learning Data Analytics Training Python R Programming Deep Learning Power BI MySQL NLP Tableau Training PowerBI Training Course Generative AI

Course Certification

Become a Certified Data Scientist with TryCatch Classes and enhance your career prospects to the next level.

This certificate serves as an official badge of your successful Data Science training course completion, highlighting your expertise

Students Reviews

I joined TryCatch in 2018. Since then I learn Android app development, Python, ML from TryCatch Classes and Currently I’m working as an Assistant Manager. Before joining, I struggled with structured learning and lacked mentorship. Their practical training made it easier to crack job opportunities. To anyone unsure about joining TryCatch — just go for it. You won’t regret it.

Manan Shah

Assistant Manager

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Software engineer
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Jane Doe

Software engineer
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Genuine reviews for our Data Science Training

Darshan

Data Scientist

First and foremost, I was thoroughly impressed with the quality of education, it was on point of my expectations. They were able to break down complex concepts into easily digestible pieces, and their explanations were always clear and concise. Also every faculty present there is the industry expert himself.I also appreciated the emphasis that Try Catch Tech placed on hands-on learning. Rather than simply lecturing about the topic, the classes provided ample opportunities to put theory into practice. This approach not only helped me understand the concepts better, but it also gave me a sense of confidence when working with these technologies.Another aspect of Try Catch Tech that stood out to me was the supportive community that surrounded the classes. From fellow students to instructors, everyone was incredibly encouraging and willing to help each other out. This made for a collaborative learning environment that I truly appreciated. And their support is so much that even after completing my course I was always welcomed to sit and study there in the classes.Overall, I would highly recommend Try Catch Tech to anyone looking to learn anything from the course they offer. Personally I did python and machine learning which was a great experience for me. The quality of instruction, hands-on learning opportunities, and supportive community make it an excellent choice for both beginners and experienced programmers alike. Thank you, Try Catch Tech, for a wonderful learning experience!

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Sudarshan Paranjape

Data Scientist

I completed TryCatch Group’s Data Science course, and it was an enlightening journey! The comprehensive curriculum covered essential topics, and the instructors were knowledgeable and approachable. Hands-on projects boosted my confidence, and provided ample resources. The supportive team promptly addressed queries, and industry case studies enriched the experience. The mentorship provided by Mohnish sir and Mehul sir was truly exceptional! Their expertise and passion for data science shone through in every aspect of the course. Highly recommended for all skill levels, this course lays a strong foundation for a successful data science career. Thank you, TryCatch Group, for this amazing learning opportunity!

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Mansi Rathod

Data Scientist

I wanted to go to USA to do my Masters in Data Science. So I joined Trycatch and completed the Data Science course at TryCatch. Anyone who’s willing to pursue Data Science in the future but has no to little knowledge about it, this class will definitely help you enhance your knowledge. Mehul and Mohnish being knowledgeable, will be there to guide you whenever needed. Overall experience was really good so I would definitely recommend this course.

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Google

Mansi Rathod

Data Scientist

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Jamil Shaikh

Data Scientist

I have done Data Science course from Trycatch Classes. I would recommend this course as it gives good idea about the field also the staff are friendly and helpful. This course has helped me to understand my subjects easily.

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Google

Jamil Shaikh

Data Scientist

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Sujwal Shetty

Data Scientist

I had taken Python+ ML course here. The overall experience was very good, I got the internal switch to Data Science domain which i was looking for in my organisation. The faculty had great knowledge within the subject.

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Google

Ranjan Prajapati

Data Scientist

The Alteryx and MySQL stack course here is fantastic. I loved how the trainers explained complex concepts in such a simple way. Working on live projects really boosted my confidence. Now I can build workflows and write SQL queries like a pro. Big thumbs up to the team!

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Google

Software Developer

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Software Developer

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Software Developer

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Student's Portfolio

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Success Stories

Frequently Asked Questions (FAQs)

What is the duration of the course?

Total duration of Data Science training course is approximately 6-8 months depending on the course you select. Throughout the course, you will receive hands-on practical training in each technology, with a focus on completing real-world projects.

Is there 100% Placement Guarantee after the course is over?

Yes, we provide 100% placement guarantee in our Data Science + Cloud training course in Mumbai.

Are there any prerequisites before starting Data Science Training?

No, anyone can learn Data Science.

Who teaches Data Science ?

At TryCatch, our team consists of seasoned experts with over 15+ years of experience. A skilled Data Scientist will be guiding students, encouraging them to ask questions without hesitation, and enabling us to effortlessly address all your inquiries.

Is the course Online or Offline?

This Data Science course is available offline & online both. You may choose whatever is feasible for you.
Offline course can be done at our Borivali Branch in Mumbai.
Online Live Course can be done on Zoom or Google Meet.

Who can learn Data Science?

This course is designed for everyone, even if you’re studying Commerce, Arts, or Mechanical subjects, or if you’re still in school. It doesn’t matter what your background is, you can definitely learn this course.

Do I need prior experience in Data Science?

No, prior experience is not required. This Data Science training course in Mumbai, India is designed to cater to both beginners and those with some background in Data Science.

What software and tools do I need for this course?

All the tools required for this training will be installed during the course.

Will I receive a certificate upon course completion?

Upon completion of the course, you will receive an official global Data Science certificate. This certificate serves as an official badge of your successful course completion, highlighting your expertise.

Can I interact with instructors and ask questions during the course?

Absolutely! Our instructors are always available to answer all your questions and solve your doubts.

Are there any real-world projects or case studies in the course?

Yes, we incorporate real-world live projects and case studies into the course to help you apply what you’ve learned in practical scenarios.

Is there a money-back guarantee if I’m not satisfied with the course?

We offer a satisfaction guarantee. If you are not satisfied with the course within a specified timeframe, you can request a refund.